Dataset : Regional desert dust and climate modeling in North Equatorial Africa : a 21-year WRF-CHIMERE simulation exercise


General metadata

Identifier :
local : FR-18008901306731-2016-09-15
Description :
CHIMERE is a chemistry-transport model recently implemented in our laboratory. CHIMERE is able to model all kind of gaseous and aerosol species, the version used here being specifically adapted to simulate the emissions, transport and deposition of desert dust.

We used two nested domains, namely d01 (spatial resolution ~50km) and d02 (spatial resolution ~20km). For the dust transport, the meteorological simulations done with the WRF regional climate model were directly used to estimate the advection, convection and turbulent terms.

The simulations were performed with a 5mn time-step and results are hourly saved, in particular the PM10 mass concentrations (in ug/m3) at the surface. Vertically, 30 levels are defined from 995 to 200 hPa. The long-term climate and dust simulation exercise was leaded on 21 dry seasons from October 1993 to April 2014.
Disciplines :
physics, atomic, molecular & chemical (physics), environmental sciences (sciences of the universe), meteorology & atmospheric sciences (sciences of the universe)
Keywords :

Dates :
Data acquisition : from Apr 1993 to Apr 2014
Metadata record : Creation : 15 Sep 2016

Language : English (eng)
Audience : Research


Nadège Martiny, Pascal Roucou (2016): Regional desert dust and climate modeling in North Equatorial Africa : a 21-year WRF-CHIMERE simulation exercise . Biogéosciences. FR-18008901306731-2016-09-15


Spatial coverage :

Administrative metadata

Data creators : Nadège Martiny [1] [2], Pascal Roucou [1] [2]
[1] : Laboratoire Biogéosciences (UMR 6282) (Université de Bourgogne)
[2] : Observatoire des Sciences de l'Univers - Terre, Homme, Environnement, Temps, Astronomie (UAR 3245) (Université de Bourgogne)
Publisher : Laboratoire Biogéosciences (UMR 6282)
Science contact : Nadège Martiny e-mail
Project and funder :
    • CNES (National agency)
Access : restricted
Access details :
To access the data, please contact the scientific data manager.

Technical metadata

Formats : application/x-netcdf
Data acquisition methods :
Datatype : Dataset


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Université de Bourgogne, Université de Franche-Comté, UTBM, AgroSup Dijon, ENSMM, BSB, Arts des Metiers